At WhaleLogic, we integrate data, networks, and cloud applications into practical, intelligent systems. From securing homes with smart devices to enabling small businesses with modern infrastructure, our mission is to make advanced technology accessible, reliable, and secure.
-
🖥️ Networks & Hardware – Configure hardware, network routing, and hybrid systems for homes and small businesses.
-
📊 Data Pipelines & BI – Transform raw data into insights for business intelligence, knowledge bases, and advanced decision-making.
-
🤖 AI & Agents – Build retrieval-augmented generation (RAG) pipelines, intelligent agents, and data-driven automations.
-
🔐 APIs & Security – Design secure REST/GraphQL APIs and cloud-native services with end-to-end security.
-
👮 24/7 browser-based Security Camera Feed. Management Dashboard with object detection.
-
ℹ️ Keep your data locally or go completely cloud-native! 😶🌫️
-
🏠 Smart Homes – Full-stack smart home integration for Amazon Home e.g. Ring, Eero
-
🔐 Smart locks & Google Nest Integration
-
💡 Sensor lighting & IoT automation, Smart Environment Control
-
🎥 Surveillance cameras & NAS storage
-
📡 Data Capture – Deploy systems that collect, process, and secure data from devices, sensors, and applications.
-
🕴️ Small Business ☁️ Cloud Applications
-
🧠 Smart Home Security, IoT & Automation
-
💻 Hardware + Networking Integration
Keith Thomson (@WhalerLogic) — Army Veteran, Computer Science student, and builder of cloud-native systems, smart home integrations, and secure data pipelines.
- Golang
- Python
- Docker
- Kubernetes
- Amazon Web Services
- Google Cloud Platform
- Wireguard
- TCP, UNIX, HTTP/2, gRPC, Protobuf
- OpenCV, PyTorch for Object Detection
- Certified C++ Developer, AWS Solutions Architect, CompTIA Cloud+
- Software Design and Development, Data and Information Strategy 🧑🚀, Project Management
- Research, Analysis and predictions with Tensorflow, Pytorch
- API & Database Development - MonogoDB, PostgreSQL, Redis, GraphQL, Parquet
- Data pipelines and Agentic tools - ingestion, tokenization, embedding, vectors, etc.
- Machine Learning Models - Train/Test, Fine-tuning, RAG Agents, MCP Servers, RNN and CNN 🧠
- C++ Developer
- CompTIA A+
- AWS Cloud Practitioner
- AWS Developer
- A.S. Computer Science - Cloud Computing 👨🎓
- B.S. Computer Science - Information Systems
- 🎖️ US Army 🪖 Proudly served in the 1st Cav - 1-12 Regiment. 🇺🇸 🇮🇶
- In the coming years my goal is to secure a Masters degree in Software Development. 🚀
📫 How to reach me: email me at CamelByte@proton.me or thomsonk2@southernct.edu
- The Go Programming Language
- Programming Rust - O'Reilly
- Data Structures - The fun way
- The Nature of Code - Simulating Natural Systems
- SuperIntelligence - Nick Bostrom (Insights into philosphy and ethics of humanity coexisting with superintelligent systems)
- Nexus - A brief history of Information Networks from the Stone Age to AI Yuval Noah Harari
- Designing Data Intensive Applications
- Clean Code - Great book outlining best practices and concepts
- Network Programming with Go
- Python for Data Science
- C++ for Dummies
- Deep Learning for Coders with fastai and PyTorch ⏩